Antenna Season Report Notebook¶

Josh Dillon, Last Revised January 2022

This notebook examines an individual antenna's performance over a whole season. This notebook parses information from each nightly rtp_summarynotebook (as saved to .csvs) and builds a table describing antenna performance. It also reproduces per-antenna plots from each auto_metrics notebook pertinent to the specific antenna.

In [1]:
import os
from IPython.display import display, HTML
display(HTML("<style>.container { width:100% !important; }</style>"))
In [2]:
# If you want to run this notebook locally, copy the output of the next cell into the next line of this cell.
# antenna = "004"
# csv_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/_rtp_summary_'
# auto_metrics_folder = '/lustre/aoc/projects/hera/H5C/H5C_Notebooks/auto_metrics_inspect'
# os.environ["ANTENNA"] = antenna
# os.environ["CSV_FOLDER"] = csv_folder
# os.environ["AUTO_METRICS_FOLDER"] = auto_metrics_folder
In [3]:
# Use environment variables to figure out path to the csvs and auto_metrics
antenna = str(int(os.environ["ANTENNA"]))
csv_folder = os.environ["CSV_FOLDER"]
auto_metrics_folder = os.environ["AUTO_METRICS_FOLDER"]
print(f'antenna = "{antenna}"')
print(f'csv_folder = "{csv_folder}"')
print(f'auto_metrics_folder = "{auto_metrics_folder}"')

antenna = "136"
csv_folder = "/home/obs/src/H6C_Notebooks/_rtp_summary_"
auto_metrics_folder = "/home/obs/src/H6C_Notebooks/auto_metrics_inspect"
In [4]:
display(HTML(f'<h1 style=font-size:50px><u>Antenna {antenna} Report</u><p></p></h1>'))

Antenna 136 Report

In [5]:
import numpy as np
import pandas as pd
pd.set_option('display.max_rows', 1000)
import glob
import re
from hera_notebook_templates.utils import status_colors, Antenna
In [6]:
# load csvs and auto_metrics htmls in reverse chronological order
csvs = sorted(glob.glob(os.path.join(csv_folder, 'rtp_summary_table*.csv')))[::-1]
print(f'Found {len(csvs)} csvs in {csv_folder}')
auto_metric_htmls = sorted(glob.glob(auto_metrics_folder + '/auto_metrics_inspect_*.html'))[::-1]
print(f'Found {len(auto_metric_htmls)} auto_metrics notebooks in {auto_metrics_folder}')

Found 34 csvs in /home/obs/src/H6C_Notebooks/_rtp_summary_
Found 34 auto_metrics notebooks in /home/obs/src/H6C_Notebooks/auto_metrics_inspect
In [7]:
# Per-season options
mean_round_modz_cut = 4
dead_cut = 0.4
crossed_cut = 0.0

def jd_to_summary_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/_rtp_summary_/rtp_summary_{jd}.html'

def jd_to_auto_metrics_url(jd):
    return f'https://htmlpreview.github.io/?https://github.com/HERA-Team/H6C_Notebooks/blob/main/auto_metrics_inspect/auto_metrics_inspect_{jd}.html'

Load relevant info from summary CSVs¶

In [8]:
this_antenna = None
jds = []

# parse information about antennas and nodes
for csv in csvs:
    df = pd.read_csv(csv)
    for n in range(len(df)):
        # Add this day to the antenna
        row = df.loc[n]
        if isinstance(row['Ant'], str) and '<a href' in row['Ant']:
            antnum = int(row['Ant'].split('</a>')[0].split('>')[-1]) # it's a link, extract antnum
        else:
            antnum = int(row['Ant'])
        if antnum != int(antenna):
            continue
        
        if np.issubdtype(type(row['Node']), np.integer):
            row['Node'] = str(row['Node'])
        if type(row['Node']) == str and row['Node'].isnumeric():
            row['Node'] = 'N' + ('0' if len(row['Node']) == 1 else '') + row['Node']
            
        if this_antenna is None:
            this_antenna = Antenna(row['Ant'], row['Node'])
        jd = [int(s) for s in re.split('_|\.', csv) if s.isdigit()][-1]
        jds.append(jd)
        this_antenna.add_day(jd, row)
        break
In [9]:
# build dataframe
to_show = {'JDs': [f'<a href="{jd_to_summary_url(jd)}" target="_blank">{jd}</a>' for jd in jds]}
to_show['A Priori Status'] = [this_antenna.statuses[jd] for jd in jds]

df = pd.DataFrame(to_show)

# create bar chart columns for flagging percentages:
bar_cols = {}
bar_cols['Auto Metrics Flags'] = [this_antenna.auto_flags[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jee)'] = [this_antenna.dead_flags_Jee[jd] for jd in jds]
bar_cols[f'Dead Fraction in Ant Metrics (Jnn)'] = [this_antenna.dead_flags_Jnn[jd] for jd in jds]
bar_cols['Crossed Fraction in Ant Metrics'] = [this_antenna.crossed_flags[jd] for jd in jds]
bar_cols['Flag Fraction Before Redcal'] = [this_antenna.flags_before_redcal[jd] for jd in jds]
bar_cols['Flagged By Redcal chi^2 Fraction'] = [this_antenna.redcal_flags[jd] for jd in jds]
for col in bar_cols:
    df[col] = bar_cols[col]

z_score_cols = {}
z_score_cols['ee Shape Modified Z-Score'] = [this_antenna.ee_shape_zs[jd] for jd in jds]
z_score_cols['nn Shape Modified Z-Score'] = [this_antenna.nn_shape_zs[jd] for jd in jds]
z_score_cols['ee Power Modified Z-Score'] = [this_antenna.ee_power_zs[jd] for jd in jds]
z_score_cols['nn Power Modified Z-Score'] = [this_antenna.nn_power_zs[jd] for jd in jds]
z_score_cols['ee Temporal Variability Modified Z-Score'] = [this_antenna.ee_temp_var_zs[jd] for jd in jds]
z_score_cols['nn Temporal Variability Modified Z-Score'] = [this_antenna.nn_temp_var_zs[jd] for jd in jds]
z_score_cols['ee Temporal Discontinuties Modified Z-Score'] = [this_antenna.ee_temp_discon_zs[jd] for jd in jds]
z_score_cols['nn Temporal Discontinuties Modified Z-Score'] = [this_antenna.nn_temp_discon_zs[jd] for jd in jds]
for col in z_score_cols:
    df[col] = z_score_cols[col]

ant_metrics_cols = {}
ant_metrics_cols['Average Dead Ant Metric (Jee)'] = [this_antenna.Jee_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Dead Ant Metric (Jnn)'] = [this_antenna.Jnn_dead_metrics[jd] for jd in jds]
ant_metrics_cols['Average Crossed Ant Metric'] = [this_antenna.crossed_metrics[jd] for jd in jds]
for col in ant_metrics_cols:
    df[col] = ant_metrics_cols[col]

redcal_cols = {}
redcal_cols['Median chi^2 Per Antenna (Jee)'] = [this_antenna.Jee_chisqs[jd] for jd in jds]
redcal_cols['Median chi^2 Per Antenna (Jnn)'] = [this_antenna.Jnn_chisqs[jd] for jd in jds]   
for col in redcal_cols:
    df[col] = redcal_cols[col]

# style dataframe
table = df.style.hide_index()\
          .applymap(lambda val: f'background-color: {status_colors[val]}' if val in status_colors else '', subset=['A Priori Status']) \
          .background_gradient(cmap='viridis', vmax=mean_round_modz_cut * 3, vmin=0, axis=None, subset=list(z_score_cols.keys())) \
          .background_gradient(cmap='bwr_r', vmin=dead_cut-.25, vmax=dead_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .background_gradient(cmap='bwr_r', vmin=crossed_cut-.25, vmax=crossed_cut+.25, axis=0, subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .background_gradient(cmap='plasma', vmax=4, vmin=1, axis=None, subset=list(redcal_cols.keys())) \
          .applymap(lambda val: 'font-weight: bold' if val < dead_cut else '', subset=list([col for col in ant_metrics_cols if 'dead' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val < crossed_cut else '', subset=list([col for col in ant_metrics_cols if 'crossed' in col.lower()])) \
          .applymap(lambda val: 'font-weight: bold' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .applymap(lambda val: 'color: red' if val > mean_round_modz_cut else '', subset=list(z_score_cols.keys())) \
          .bar(subset=list(bar_cols.keys()), vmin=0, vmax=1) \
          .format({col: '{:,.4f}'.format for col in z_score_cols}) \
          .format({col: '{:,.4f}'.format for col in ant_metrics_cols}) \
          .format('{:,.2%}', na_rep='-', subset=list(bar_cols.keys())) \
          .set_table_styles([dict(selector="th",props=[('max-width', f'70pt')])])

Table 1: Per-Night RTP Summary Info For This Atenna¶

This table reproduces each night's row for this antenna from the RTP Summary notebooks. For more info on the columns, see those notebooks, linked in the JD column.

In [10]:
display(HTML(f'<h2>Antenna {antenna}, Node {this_antenna.node}:</h2>'))
HTML(table.render(render_links=True, escape=False))

Antenna 136, Node N12:

Out[10]:
JDs A Priori Status Auto Metrics Flags Dead Fraction in Ant Metrics (Jee) Dead Fraction in Ant Metrics (Jnn) Crossed Fraction in Ant Metrics Flag Fraction Before Redcal Flagged By Redcal chi^2 Fraction ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score Average Dead Ant Metric (Jee) Average Dead Ant Metric (Jnn) Average Crossed Ant Metric Median chi^2 Per Antenna (Jee) Median chi^2 Per Antenna (Jnn)
2460017 digital_ok 100.00% 100.00% 0.00% 0.00% - - 8.850718 -0.771551 9.318631 -0.435691 7.374281 0.820344 0.905584 -0.336525 0.0373 0.5420 0.3981 nan nan
2460016 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.917508 0.267408 10.394394 -0.513387 5.604830 0.619433 1.610939 0.360835 0.0383 0.5527 0.4109 nan nan
2460015 digital_ok 100.00% 99.95% 99.89% 0.00% - - nan nan inf inf nan nan nan nan 0.0814 0.2649 0.2222 nan nan
2460014 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.076939 -0.417948 8.065013 -0.474203 8.847531 0.208870 1.085805 -0.354413 0.0364 0.5403 0.4015 nan nan
2460013 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.268607 1.953299 10.765248 -0.518025 5.973378 0.489010 2.373540 0.914785 0.0387 0.5602 0.4156 nan nan
2460012 digital_ok 100.00% 99.95% 99.95% 0.00% - - nan nan inf inf nan nan nan nan 1.0000 1.0000 0.0055 nan nan
2460011 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.893576 0.405338 14.014249 -1.276142 13.514940 0.324917 2.267179 0.512638 0.0423 0.5690 0.4037 nan nan
2460010 digital_ok 100.00% 100.00% 100.00% 0.00% - - nan nan inf inf nan nan nan nan nan nan nan nan nan
2460009 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.854421 9.049778 12.571721 -0.282139 7.347669 0.042834 1.601396 1.323896 0.0417 0.5760 0.3933 nan nan
2460008 digital_ok 100.00% 100.00% 0.00% 0.00% - - 13.142418 0.562724 13.734156 -0.879095 6.660834 0.815606 4.725490 1.155816 0.0451 0.6373 0.4333 nan nan
2460007 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.782288 0.079443 10.733317 -0.436067 5.942460 0.176834 2.319944 -0.131541 0.0416 0.5933 0.4087 nan nan
2459999 digital_ok 0.00% 98.91% 99.00% 0.00% - - nan nan nan nan nan nan nan nan 0.2409 0.2051 0.1660 nan nan
2459998 digital_ok 100.00% 100.00% 0.00% 0.00% - - 8.300419 -0.079840 9.183746 -0.449278 8.030806 0.687268 1.565751 -0.015878 0.0380 0.5931 0.4426 nan nan
2459997 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.074434 0.035284 9.735434 -0.405499 7.737407 0.161493 2.823899 -0.093686 0.0426 0.6068 0.4588 nan nan
2459996 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.030860 7.940554 12.254443 -0.146664 7.326006 -0.082860 0.971075 0.967069 0.0400 0.5999 0.4342 nan nan
2459995 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.261316 3.893450 11.340187 -0.638362 8.081006 1.213568 0.944236 0.369781 0.0463 0.5974 0.4372 nan nan
2459994 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.898905 -0.391281 9.774185 -0.508261 7.846616 0.796701 2.077243 0.594847 0.0396 0.5978 0.4402 nan nan
2459993 digital_ok 100.00% 99.10% 0.00% 0.00% - - 11.004522 -0.227454 9.063503 -0.647673 10.223448 0.457025 1.231145 -0.455365 0.0348 0.5999 0.4218 nan nan
2459991 digital_ok 100.00% 100.00% 0.00% 0.00% - - 11.762303 -0.585037 9.612858 -0.603817 9.212933 0.702106 0.809156 -0.495819 0.0384 0.6033 0.4568 nan nan
2459990 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.555378 -0.482390 9.408672 -0.617230 9.112542 0.422416 0.759233 -0.715835 0.0421 0.6025 0.4559 nan nan
2459989 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.338250 -0.600428 8.371643 -0.314291 8.050698 0.411253 0.475130 -0.724747 0.0375 0.6012 0.4580 nan nan
2459988 digital_ok 100.00% 100.00% 0.00% 0.00% - - 11.221633 -0.505182 9.704072 -0.789224 10.836299 -0.108442 0.577571 -0.630004 0.0377 0.6006 0.4481 nan nan
2459987 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.145320 -0.337375 9.421753 -0.590823 6.418315 0.375380 1.579876 -0.560062 0.0425 0.6076 0.4576 nan nan
2459986 digital_ok 100.00% 100.00% 0.00% 0.00% - - 11.524738 1.172137 10.319562 -0.701592 9.433541 0.722387 5.820237 -0.656770 0.0399 0.6264 0.4438 nan nan
2459985 digital_ok 100.00% 100.00% 0.00% 0.00% - - 10.533786 4.626973 9.567834 -0.473939 7.279150 0.811017 1.950550 0.020446 0.0396 0.5942 0.4472 nan nan
2459984 digital_ok 100.00% 98.65% 0.00% 0.00% - - 9.979405 8.050072 9.933745 -0.423625 9.420960 -0.427381 2.664149 -0.367228 0.0451 0.6069 0.4419 nan nan
2459983 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.767980 0.433497 9.488424 -0.698342 9.310478 -0.147872 3.571554 -0.640262 0.0424 0.6452 0.4664 nan nan
2459982 digital_ok 100.00% 100.00% 0.00% 0.00% - - 8.259825 0.127520 8.046483 -0.341891 4.545913 0.320445 2.479536 -0.041509 0.0410 0.6749 0.4558 nan nan
2459981 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.154665 -0.314822 10.098912 -0.914097 10.471258 0.287931 0.872801 -0.705512 0.0426 0.6086 0.4593 nan nan
2459980 digital_ok 100.00% 100.00% 0.00% 0.00% - - 8.928972 -0.154681 9.078900 -0.771280 9.064243 0.126977 5.256028 -0.639101 0.0427 0.6477 0.4546 nan nan
2459979 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.344687 -0.460309 8.394099 -0.724959 8.981478 0.489372 0.980294 -0.580309 0.0404 0.6064 0.4610 nan nan
2459978 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.435945 -0.092818 9.122595 -0.806526 9.385157 0.132127 0.698442 -0.977439 0.0366 0.6031 0.4568 nan nan
2459977 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.772654 0.144642 8.976728 -0.722799 9.229164 0.013456 0.901199 0.245669 0.0438 0.5647 0.4217 nan nan
2459976 digital_ok 100.00% 100.00% 0.00% 0.00% - - 9.651653 0.782188 9.439413 -0.774238 9.476611 1.257060 1.203827 1.317528 0.0381 0.6064 0.4487 nan nan

Load antenna metric spectra and waterfalls from auto_metrics notebooks.¶

In [11]:
htmls_to_display = []
for am_html in auto_metric_htmls:
    html_to_display = ''
    # read html into a list of lines
    with open(am_html) as f:
        lines = f.readlines()
    
    # find section with this antenna's metric plots and add to html_to_display
    jd = [int(s) for s in re.split('_|\.', am_html) if s.isdigit()][-1]
    try:
        section_start_line = lines.index(f'<h2>Antenna {antenna}: {jd}</h2>\n')
    except ValueError:
        continue
    html_to_display += lines[section_start_line].replace(str(jd), f'<a href="{jd_to_auto_metrics_url(jd)}" target="_blank">{jd}</a>')
    for line in lines[section_start_line + 1:]:
        html_to_display += line
        if '<hr' in line:
            htmls_to_display.append(html_to_display)
            break

Figure 1: Antenna autocorrelation metric spectra and waterfalls.¶

These figures are reproduced from auto_metrics notebooks. For more info on the specific plots and metrics, see those notebooks (linked at the JD). The most recent 100 days (at most) are shown.

In [12]:
for i, html_to_display in enumerate(htmls_to_display):
    if i == 100:
        break
    display(HTML(html_to_display))

Antenna 136: 2460017

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 9.318631 -0.771551 8.850718 -0.435691 9.318631 0.820344 7.374281 -0.336525 0.905584

Antenna 136: 2460016

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 10.394394 0.267408 9.917508 -0.513387 10.394394 0.619433 5.604830 0.360835 1.610939

Antenna 136: 2460015

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok nn Shape nan nan nan inf inf nan nan nan nan

Antenna 136: 2460014

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 10.076939 10.076939 -0.417948 8.065013 -0.474203 8.847531 0.208870 1.085805 -0.354413

Antenna 136: 2460013

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 10.765248 10.268607 1.953299 10.765248 -0.518025 5.973378 0.489010 2.373540 0.914785

Antenna 136: 2460012

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 136: 2460011

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 14.014249 10.893576 0.405338 14.014249 -1.276142 13.514940 0.324917 2.267179 0.512638

Antenna 136: 2460010

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape nan nan nan inf inf nan nan nan nan

Antenna 136: 2460009

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 12.571721 10.854421 9.049778 12.571721 -0.282139 7.347669 0.042834 1.601396 1.323896

Antenna 136: 2460008

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 13.734156 0.562724 13.142418 -0.879095 13.734156 0.815606 6.660834 1.155816 4.725490

Antenna 136: 2460007

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 10.733317 9.782288 0.079443 10.733317 -0.436067 5.942460 0.176834 2.319944 -0.131541

Antenna 136: 2459999

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok nn Shape nan nan nan nan nan nan nan nan nan

Antenna 136: 2459998

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 9.183746 8.300419 -0.079840 9.183746 -0.449278 8.030806 0.687268 1.565751 -0.015878

Antenna 136: 2459997

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 9.735434 9.074434 0.035284 9.735434 -0.405499 7.737407 0.161493 2.823899 -0.093686

Antenna 136: 2459996

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 12.254443 10.030860 7.940554 12.254443 -0.146664 7.326006 -0.082860 0.971075 0.967069

Antenna 136: 2459995

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 11.340187 10.261316 3.893450 11.340187 -0.638362 8.081006 1.213568 0.944236 0.369781

Antenna 136: 2459994

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.898905 9.898905 -0.391281 9.774185 -0.508261 7.846616 0.796701 2.077243 0.594847

Antenna 136: 2459993

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 11.004522 11.004522 -0.227454 9.063503 -0.647673 10.223448 0.457025 1.231145 -0.455365

Antenna 136: 2459991

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 11.762303 11.762303 -0.585037 9.612858 -0.603817 9.212933 0.702106 0.809156 -0.495819

Antenna 136: 2459990

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.555378 -0.482390 9.555378 -0.617230 9.408672 0.422416 9.112542 -0.715835 0.759233

Antenna 136: 2459989

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.338250 -0.600428 9.338250 -0.314291 8.371643 0.411253 8.050698 -0.724747 0.475130

Antenna 136: 2459988

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 11.221633 -0.505182 11.221633 -0.789224 9.704072 -0.108442 10.836299 -0.630004 0.577571

Antenna 136: 2459987

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 9.421753 9.145320 -0.337375 9.421753 -0.590823 6.418315 0.375380 1.579876 -0.560062

Antenna 136: 2459986

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 11.524738 1.172137 11.524738 -0.701592 10.319562 0.722387 9.433541 -0.656770 5.820237

Antenna 136: 2459985

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 10.533786 4.626973 10.533786 -0.473939 9.567834 0.811017 7.279150 0.020446 1.950550

Antenna 136: 2459984

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.979405 9.979405 8.050072 9.933745 -0.423625 9.420960 -0.427381 2.664149 -0.367228

Antenna 136: 2459983

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.767980 9.767980 0.433497 9.488424 -0.698342 9.310478 -0.147872 3.571554 -0.640262

Antenna 136: 2459982

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 8.259825 8.259825 0.127520 8.046483 -0.341891 4.545913 0.320445 2.479536 -0.041509

Antenna 136: 2459981

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Temporal Variability 10.471258 -0.314822 9.154665 -0.914097 10.098912 0.287931 10.471258 -0.705512 0.872801

Antenna 136: 2459980

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Power 9.078900 -0.154681 8.928972 -0.771280 9.078900 0.126977 9.064243 -0.639101 5.256028

Antenna 136: 2459979

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.344687 9.344687 -0.460309 8.394099 -0.724959 8.981478 0.489372 0.980294 -0.580309

Antenna 136: 2459978

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.435945 -0.092818 9.435945 -0.806526 9.122595 0.132127 9.385157 -0.977439 0.698442

Antenna 136: 2459977

Ant Node A Priori Status Worst Metric Worst Modified Z-Score ee Shape Modified Z-Score nn Shape Modified Z-Score ee Power Modified Z-Score nn Power Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Discontinuties Modified Z-Score nn Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.772654 9.772654 0.144642 8.976728 -0.722799 9.229164 0.013456 0.901199 0.245669

Antenna 136: 2459976

Ant Node A Priori Status Worst Metric Worst Modified Z-Score nn Shape Modified Z-Score ee Shape Modified Z-Score nn Power Modified Z-Score ee Power Modified Z-Score nn Temporal Variability Modified Z-Score ee Temporal Variability Modified Z-Score nn Temporal Discontinuties Modified Z-Score ee Temporal Discontinuties Modified Z-Score
136 N12 digital_ok ee Shape 9.651653 0.782188 9.651653 -0.774238 9.439413 1.257060 9.476611 1.317528 1.203827
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